Control Handle Connectivity¶
Restrict which connections users can create by configuring the connectable
flags on NodeType. This lets you enforce directional flow (sources, sinks,
transforms) and prevent invalid edges at the UI level.

Problem¶
By default, all handles are fully connectable — users can drag edges from or to any handle on any node. But many graph types have directional semantics:
- Data sources should only output data, never accept input
- Data sinks should only accept input, never produce output
- Monitor nodes might accept input but only emit status (one direction)
- Read-only nodes might display data without allowing any new connections
Without restrictions, users can create semantically invalid edges that break your application's logic.
Solution¶
Use the six *_connectable* flags on NodeType to control which drag
operations are allowed for input and output handles.
Available flags¶
| Flag | Default | Controls |
|---|---|---|
input_connectable |
True |
Whether input handles are connectable at all |
input_connectable_start |
True |
Whether edges can start from input handles |
input_connectable_end |
True |
Whether edges can end at input handles |
output_connectable |
True |
Whether output handles are connectable at all |
output_connectable_start |
True |
Whether edges can start from output handles |
output_connectable_end |
True |
Whether edges can end at output handles |
Common patterns¶
Data source (output only)¶
Produces data but cannot accept incoming connections:
from panel_reactflow import NodeType
source = NodeType(
type="source",
label="Data Source",
outputs=["data"],
output_connectable_start=True, # Can drag FROM output
output_connectable_end=False, # Cannot drag TO output
)
Valid: Drag from source output → another node's input ✓ Invalid: Drag from another node → source output ✗
Data sink (input only)¶
Consumes data but cannot produce outgoing connections:
sink = NodeType(
type="sink",
label="Data Sink",
inputs=["data"],
input_connectable_start=False, # Cannot drag FROM input
input_connectable_end=True, # Can drag TO input
)
Valid: Drag from another node's output → sink input ✓ Invalid: Drag from sink input → another node ✗
Transform (bidirectional)¶
Full connectivity in both directions (default):
transform = NodeType(
type="transform",
label="Transform",
inputs=["in"],
outputs=["out"],
# All flags default to True — no need to specify
)
Valid: Any drag operation ✓
Monitor node¶
Accepts input and emits status, but status cannot receive incoming edges:
monitor = NodeType(
type="monitor",
label="Monitor",
inputs=["in"],
outputs=["status"],
input_connectable_start=False, # Cannot start edges from input
output_connectable_end=False, # Cannot end edges at output
)
Valid: Drag from another node → monitor input ✓ Valid: Drag from monitor output → another node ✓ Invalid: Drag from monitor input → another node ✗ Invalid: Drag from another node → monitor output ✗
Read-only node¶
Displays data but allows no new connections:
readonly = NodeType(
type="readonly",
label="Read Only",
inputs=["in"],
outputs=["out"],
input_connectable=False,
output_connectable=False,
)
Invalid: Any drag operation ✗
Complete working example¶
This example builds a data pipeline with sources, transforms, and sinks:
import panel as pn
from panel_reactflow import NodeType, NodeSpec, EdgeSpec, ReactFlow
pn.extension("jsoneditor")
# Define node types
node_types = {
"source": NodeType(
type="source",
label="Data Source",
outputs=["data"],
output_connectable_start=True,
output_connectable_end=False,
),
"transform": NodeType(
type="transform",
label="Transform",
inputs=["in"],
outputs=["out"],
),
"monitor": NodeType(
type="monitor",
label="Monitor",
inputs=["in"],
outputs=["status"],
input_connectable_start=False,
output_connectable_end=False,
),
"sink": NodeType(
type="sink",
label="Data Sink",
inputs=["data"],
input_connectable_start=False,
input_connectable_end=True,
),
}
# Build pipeline
flow = ReactFlow(
nodes=[
NodeSpec(id="source1", type="source", position={"x": 100, "y": 150}, data={}).to_dict(),
NodeSpec(id="transform1", type="transform", position={"x": 350, "y": 150}, data={}).to_dict(),
NodeSpec(id="monitor1", type="monitor", position={"x": 600, "y": 150}, data={}).to_dict(),
NodeSpec(id="sink1", type="sink", position={"x": 850, "y": 150}, data={}).to_dict(),
],
edges=[
EdgeSpec(id="e1", source="source1", target="transform1", sourceHandle="data", targetHandle="in").to_dict(),
EdgeSpec(id="e2", source="transform1", target="monitor1", sourceHandle="out", targetHandle="in").to_dict(),
EdgeSpec(id="e3", source="monitor1", target="sink1", sourceHandle="status", targetHandle="data").to_dict(),
],
node_types=node_types,
width=1200,
height=400,
)
flow.servable()
Try these interactions¶
- Valid: Drag from source output → transform input ✓
- Valid: Drag from transform output → monitor input ✓
- Valid: Drag from monitor output → sink input ✓
- Invalid: Try to drag TO source output ✗ (blocked)
- Invalid: Try to drag FROM sink input ✗ (blocked)
- Invalid: Try to drag TO monitor output ✗ (blocked)
The UI automatically prevents invalid connections — handles show different cursor behavior and won't accept or initiate drag operations when restricted.
Multiple handles per side¶
Connectable flags apply to all handles on a given side (input or output).
If a node has multiple input handles, input_connectable_start=False affects
all of them:
multi_input = NodeType(
type="multi",
label="Multi-Input",
inputs=["in1", "in2", "in3"], # Three input handles
outputs=["out"],
input_connectable_start=False, # Applies to all input handles
)
All three input handles will respect the same connectivity rules.
Programmatic edges vs UI restrictions¶
Connectable flags only affect user drag interactions in the UI. You can still create edges programmatically regardless of the flags:
# This edge will be created even if handles are non-connectable
flow.add_edge(EdgeSpec(id="e1", source="source1", target="sink1"))
Or by passing edges directly to ReactFlow:
edges = [
EdgeSpec(id="e1", source="source1", target="sink1").to_dict()
]
flow = ReactFlow(nodes=nodes, edges=edges, node_types=node_types)
The flags control what users can do via drag-and-drop, not what your code can create.
Flag independence¶
Each flag is independent. Setting one doesn't affect others:
# Only restrict starting edges from inputs
node = NodeType(
type="restricted",
inputs=["in"],
outputs=["out"],
input_connectable_start=False, # Only this flag changes
# input_connectable=True (default)
# input_connectable_end=True (default)
# All output_* flags also default to True
)
Backwards compatibility¶
Existing code without connectable flags continues to work — all flags default
to True:
# Old-style node type definition
legacy = NodeType(
type="task",
label="Task",
inputs=["in"],
outputs=["out"],
)
# Behaves exactly as before — all handles fully connectable
Use cases¶
ETL pipelines¶
extract = NodeType(type="extract", outputs=["data"], output_connectable_end=False)
transform = NodeType(type="transform", inputs=["in"], outputs=["out"])
load = NodeType(type="load", inputs=["data"], input_connectable_start=False)
State machines¶
start = NodeType(type="start", outputs=["next"], output_connectable_end=False)
state = NodeType(type="state", inputs=["in"], outputs=["out"])
end = NodeType(type="end", inputs=["in"], input_connectable_start=False)
DAG workflows¶
trigger = NodeType(type="trigger", outputs=["event"], output_connectable_end=False)
task = NodeType(type="task", inputs=["trigger"], outputs=["result"])
logger = NodeType(type="logger", inputs=["log"], input_connectable_start=False)
Tips¶
- Start with defaults: Don't add restrictions until you need them.
- Test in UI: Try dragging to confirm the restrictions work as expected.
- Use patterns: The source/sink/transform/monitor patterns cover most use cases.
- Document intent: Add comments explaining why specific flags are set.
Related¶
- Declare Node & Edge Types — full type declaration guide
- Define Nodes & Edges — node and edge structure
- API Reference — complete API documentation